Research Of Several Problems Of Image-guided Technology

Now,weapons made tremendous progress,and weapons can correctly and quickly hit the set target is becoming one of the elements battlefield victory.Image-guided technology as a passive guidance technology,Compared with other guidance system,it has a huge advantage in terms of accuracy and concealment,at the same time in terms of interference and direct observations it also has its own unique advantages.Therefore,it is subject to various countries more and more attention.This paper is mainly about the several key components of the image-guided in a thorough exploration,to illustrate the problems associated,includes research image preprocessing techniques,extraction algorithm of corner of the image,Image registration algorithms and guided parameter extraction.Image preprocessing techniques can provide a good quality of image data for image-guided further exploration.Image preprocessing techniques have image de-noising processing,sharpening techniques,image enhancement and edge extraction.Through the study of various algorithms,Experiments show the effect of various image processing algorithms,and make the analysis of its results.Also using Wiener filtering algorithm to extract image edge is proposed.Taking into account the characteristics of the image guidance technology,in this paper,Retinex theory image enhancement algorithms are explored analysis in worst case meteorological conditions(cloudy,fog,etc.),and it has achieved satisfactory results.Feature points of the image contains a lot of rich information,and able to provide ideas and solutions to resolve issues related images.This paper focuses on Susan corner extraction algorithm,Harris corner extraction algorithm,Edge corner point extraction algorithm three aspects of research.Through experiments,for the same image,respectively in three corner extraction algorithm,generated a profile of each of the three theories corners,and on the problems they created in the extraction process corners do a lot of analysis and summary.After comparing the three algorithms,Edge corner extraction algorithm has a unique advantage in terms of interference and speediness,and more suitable for image-guided extraction corners.Image registration is the most important in an image-guided all aspects.This paper mainly do the following exploration for the technology,an image matching algorithm based on gray-scale information,and another is based on image feature matching algorithm.And it dose programming experiments on two theories.Through the final result,for their respective to achieve results dose research and compare and summed up the advantages and disadvantages of each algorithm.Meanwhile,in order to better immunity,this paper conducted related improvements for hausdorff distance,to increases its practical operability.Image-guided parameter extraction is the final step in image-guided.This article uses the lens imaging principle and the relationship between several coordinates to do their studies done,and the method can complete the extraction parameters under certain conditions.